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The DIT system uses an incremental greedy search to generate descriptions, (similar to the incremental algorithm described in (Dale and Reiter, 1995) ) incremental algorithm). The selection of the next attribute to be tested for inclusion in the description is ordered by the absolute frequency of each attribute in the training corpus. Attributes are selected in descending order of frequency (i.e. the attribute that occurred most frequently in the training corpus is selected first).
Kelleher, J. (2007). DIT frequency based incremental attribute selection for GRE. Proceedings of the MT Summit XI Workshop Using Corpora for Natural Language Generation: Language Generation and Machine Translation (UNLG+MT), Blez and Varges (eds). doi:10.21427/yy9f-y443